Cloud computing and software

All analyses not implemented as a web-based tool were performed on the University of Oslo cloud computing service TSD, developed and maintained by the TSD service group at the University of Oslo IT Department (USIT). Preprocessing of the genetic data were performed through resources provided by UNINETT Sigma2, the National Infrastructure for High Performance Computing and Data Storage in Norway.

We used custom scripts for data wrangling, analysis, and visualization written in either R¹ (versions 3.6 to 4.0), Python^2,3 (versions 2.7 to 3.10), or MATLAB⁴ (versions R2017a to R2021a) and a number of associated packages, modules, and libraries.

1.

R Core Team. R: A language and environment for statistical computing [Internet]. Vienna, Austria: R Foundation for Statistical Computing; 2021. Available from: https://www.R-project.org/

2.

Guido van Rossum, Fred L Drake Jr. Python reference manual. Centrum voor Wiskunde en Informatica Amsterdam; 1995.

3.

Guido van Rossum, Fred L Drake Jr. Python 3 Reference Manual. Scotts Valley, CA: CreateSpace; 2009.

4.

The MathWorks Inc. MATLAB [Internet]. Natick, MA; Available from: https://mathworks.com